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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 6322
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    Explanations

    keywords related to the origination or source of something

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the concept of origin

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    thur
    -0.80
    vil
    -0.74
    err
    -0.73
    nature
    -0.70
    aving
    -0.70
    avering
    -0.69
    bern
    -0.67
    opers
    -0.66
    istors
    -0.66
    gettable
    -0.63
    POSITIVE LOGITS
     originating
    0.83
    REDACTED
    0.81
     originate
    0.81
     originated
    0.76
    Ú
    0.69
     circulating
    0.66
    ATED
    0.66
    ially
    0.64
     crowdfunding
    0.64
    itial
    0.62
    Activations Density 0.014%

    No Known Activations